Open-source inference server and production cluster for all the models your agent needs.
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Updated
Oct 21, 2026 - Python
Open-source inference server and production cluster for all the models your agent needs.
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
Efficient Retrieval Augmentation and Generation Framework
🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL
Late Interaction Models Training & Retrieval
Neural Search
High-Performance Engine for Multi-Vector Search
Production inference for encoder models - ColBERT, GLiNER, ColPali, embeddings etc. - as vLLM plugins for online and in-process deployment
An easy-to-use python toolkit for flexibly adapting various neural ranking models to target domain.
This repository helps you evaluate your models on the FreshStack benchmark!
Tree-based indexes for neural-search
Fused Triton kernels for late-interaction (MaxSim) scoring
Evaluation of BEIR Datasets using ColBERT retrieval model
Optimised BAAI/bge-m3 serving with dense + sparse + ColBERT embeddings, async dynamic batching and pipeline GPU inference
Monolingual Italian late-interaction (ColBERT) retriever for search and RAG
Open source ColBERT based document database
Production-quality AI search project exploring modern retrieval, reranking, RAG, fine-tuning, personalization and evaluation for travel search.
Python library for MUVERA multi-vector retrieval via Fixed Dimensional Encodings. ColBERT / ColQwen2 / ColQwen3.5 compatible.
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